摘要
MISR计划于1998年搭载EOS的AM1平台发射升空。目前我们利用仿真数据和现在已有的机载ASAS多角度数据来测试分析MISR数据所需要的算法。MISR数据的处理可以分为3个主要的顺序执行的阶段。第一阶段的作用是提取景上空的必要的大气特性。第一阶段处理的结果可以被第二阶段用来一个象素一个象素地从景中提取表面光谱HDRF。最后,在第三阶段中,第二阶段获得的HRDF被用来对一个3参数BRF模型进行线性化,以便提取对应的BRF。我们给出了基于仿真MISR数据的提取算法的结果。
MISR is scheduled for launch in 1998 on the EOS AM1 platform. The algorithms needed to analyze data from this instrument are currently being tested, using both simulated data and data currently available from the airborne ASAS multiangle instrument. The data processing can be divided into three major, sequential segments. The first segment retrieves the necessary atmospheric properties over the scene. These results then are used in the second segment to retrieve the surface spectral HDRFs on a pixelby pixel basis for the scene. Finally, the HDRFs are used with a linearized three parameter BRF model in the third algorithm segment to retrieve the corresponding spectral BRFs. Results of the retrieval algorithms are presented using simulated MISR data.
出处
《遥感学报》
EI
CSCD
1997年第S1期145-150,共6页
NATIONAL REMOTE SENSING BULLETIN
关键词
ASAS多角度测量仪
表面光谱球方向反射因子
半球反射模型
多角度光谱成象仪
ASAS multiangle instrument, The surface spectral HDRFs(hemisphericaldirectional reflectance factors), BRF model, The Multiangle Imaging SpectroRaiometer(MISR)